Four dimensions weighed on every single request — so cost, speed, and sovereignty stop being trade-offs.
Private LLMs and agent applications deploy directly to AI Factories — no round trip to external clouds, faster responses.
Lightweight tasks route to smaller, cheaper models. Complex workloads get high-performance systems. Nothing is over-served.
Sensitive data remains within its original jurisdiction. Requests are classified and routed to meet privacy and regulatory requirements automatically.
Built on NVIDIA’s full software ecosystem — TensorRT, Triton Inference Server, NIM microservices — for maximum GPU utilization.
Every request is scored the moment it arrives — complexity, data sensitivity, and latency budget.
The engine matches it to the right environment — public cloud for general knowledge, private edge for latency-critical and sensitive work.
Workloads run on the NVIDIA stack — TensorRT, Triton, NIM microservices — for maximum throughput at every node.